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題名 超越指數績效的投資組合最佳化模型
Portfolio optimization models for enhanced index investment
作者 朱志達
Chu, Chih Ta
貢獻者 劉明郎
朱志達
Chu, Chih Ta
關鍵詞 指數基金
大中取小法則
混合整數非線性規劃
index fund
minimax rule
mixedinteger nonlinear program
日期 2009
上傳時間 8-Dec-2010 02:00:25 (UTC+8)
摘要 建立指數基金時,通常是利用追蹤指數的技巧,選取少量的股票建構指數基金使得報酬率與標的指數(benchmark index)報酬率同步的投資組合。如果能建立包含少量股票的投資組合,就可達到指數追蹤的效果,那麼也能利用少量的股票建立績效可以超越指數基金的投資組合。本論文利用建構指數基金的方法以及大中取小的概念,挑選出一個績效可以超越標的指數的投資組合。本論文提出的模型亦考慮實務上交易所需的各項成本、整數交易單位與資產總類數等限制。因此,模型包含整數變數與二元變數。最後以台灣加權股價指數的相關資料做為實證研究的對象,實證結果顯示本論文提出的模型所建立的投資組合超越標的指數的績效平均年化報酬率25%。
Setting up an index fund usually uses techniques of index-tracking that choosing few stocks forming a portfolio to obtain the same return rate as the benchmark index. Similarly we can use the same concept to set up a portfolio such that the performance is better than index’s. In this thesis we use index-tracking methods and minimax rule to obtain a portfolio which outperforms the benchmark index. In the proposed mathematical model we will consider the transaction costs, integer trading unit volume, and the total number of assets in the portfolio. Therefore the resulting model is a mixed integer nonlinear programming including integer variables and binary variables. Finally, the empirical study will be performed by using the data from the Taiwan stock market to verify the performance of our model. The empirical study shows that the portfolios created by our models outperform the benchmark index up to 25% in average.
摘 要 II
     Abstract III
     目 錄 IV
     圖 目 錄 V
     表 目 錄 VI
     
     第一章 緒論 1
     1.1 前言 1
     1.2 研究目的與架構 4
     
     第二章 文獻回顧 5
     
     第三章 數學模型探討 9
     3.1 Markowitz的模型 9
     3.2 Konno與Yamazaki的模型 10
     3.3 YOUNG的模型 16
     
     第四章 建立與調整投資組合的數學規劃模型 18
     4.1 建立投資組合的數學規劃模型 18
     4.2 調整指數基金的數學規劃模型 22
     
     第五章 實證研究 26
     5.1 檢測模型在不同區段的有效性 26
     5.2 檢測最適的調整週期 30
     5.3 檢測最適的參數 32
     
     第六章 結論與建議 37
     
     參考文獻 39
     
     附錄 附表 41
參考文獻 J. E. Beasley, N. Meade and T. J. Chang, An evolutionary heuristic for the index tracking
problem, European Journal of Operational Research 148, 621-643 (2003).
Cai, X., K. L. Teo, X. Yang and X. Y. Zhou, Portfolio optimization under a minimax rule, Management Science 46, 957-972 (2000).
Feinstein, C. D. and M. N. Thapa, A reformulation of a mean-absolute deviation portfolio optimization model, Management Science 39, 1552-1553 (1993).
Konno, H. and H. Yamazaki, Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock market, Management Science 37, 519-531 (1991).
Konno, H., H. Shirakawa, and H. Yamazaki, A mean-absolute deviation-skewness portfolio optimization model, Annals of Operations Research 45, 205-220 (1993).
Konno, H. and A. Wijayanayake, Portfolio optimization problem under concave transaction costs and minimal transaction unit constraints, Mathematical Programming Series B 89, 233-250 (2001).
Konno, H. and R. Yamamoto, Minimal concave cost rebalance of a portfolio to the efficient frontier, Mathematical Programming Series B 97, 571-585 (2003).
Luenberger, D.G., Investment science, Oxford University Press, New York, (1998).
Mansini, R. and M. G. Speranza, Heuristic algorithms for the portfolio selection problem with minimum transaction lots, European Journal of Operational Research 114, 219-233 (1999).
Markowitz, H., Portfolio selection, Journal of Finance 7, 77-91 (1952).
Meade, N. and G. R. Salkin, Index funds-construction and performance measurement, Journal of the Operational Research Society 40, 871-879 (1989).
Richard E. Rosenthal, GAMS-A User’s Guide, GAMS Development Corporation, Washington, DC, USA (2008).
Sharpe, W. F., A linear programming algorithm for mutual fund portfolio selection, Management Science 13, 499-510 (1967).
Sharpe, W. F., A linear programming approximation for the general portfolio analysis problem, Journal of Financial and Quantitative Analysis (December), 1263-1275 (1971).
Simaan, Y., Estimation risk in portfolio selection: the mean variance model versus the mean absolute deviation model, Management Science 43 (October), 1437-1446 (1997).
Speranza, M. G., Linear programming models for portfolio optimization, Finance 14, 107-123 (1993).
Speranza, M. G., A heuristic algorithm for a portfolio optimization model applied to the Milan stock market, Computers & Operations Research 23, 433-441 (1996).
Xia, Y., B. Liu, S. Wang and K. K. Lai, A model for portfolio selection with order of expected returns, Computers & Operations Research 27, 409-422 (2000).
Young, M. R., A minimax portfolio selection rule with linear programming solution, Management Science 44, 673-683 (1998).
白惠琦,指數基金追蹤模型的最佳化,國立政治大學應用數學系碩士論文 (民國91年)。
呂建鴻,考量下層風險的最佳投資組合,國立政治大學應用數學系碩士論文 (民國91年)。
莊智祥,使用目標規畫建立指數基金,國立政治大學應用數學系碩士論文 (民國87年)。
蘇代利,調整指數基金的最小成本模型,國立政治大學應用數學系碩士論文 (民國93年)。
描述 碩士
國立政治大學
應用數學研究所
97751009
98
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0977510091
資料類型 thesis
dc.contributor.advisor 劉明郎zh_TW
dc.contributor.author (Authors) 朱志達zh_TW
dc.contributor.author (Authors) Chu, Chih Taen_US
dc.creator (作者) 朱志達zh_TW
dc.creator (作者) Chu, Chih Taen_US
dc.date (日期) 2009en_US
dc.date.accessioned 8-Dec-2010 02:00:25 (UTC+8)-
dc.date.available 8-Dec-2010 02:00:25 (UTC+8)-
dc.date.issued (上傳時間) 8-Dec-2010 02:00:25 (UTC+8)-
dc.identifier (Other Identifiers) G0977510091en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/49162-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 應用數學研究所zh_TW
dc.description (描述) 97751009zh_TW
dc.description (描述) 98zh_TW
dc.description.abstract (摘要) 建立指數基金時,通常是利用追蹤指數的技巧,選取少量的股票建構指數基金使得報酬率與標的指數(benchmark index)報酬率同步的投資組合。如果能建立包含少量股票的投資組合,就可達到指數追蹤的效果,那麼也能利用少量的股票建立績效可以超越指數基金的投資組合。本論文利用建構指數基金的方法以及大中取小的概念,挑選出一個績效可以超越標的指數的投資組合。本論文提出的模型亦考慮實務上交易所需的各項成本、整數交易單位與資產總類數等限制。因此,模型包含整數變數與二元變數。最後以台灣加權股價指數的相關資料做為實證研究的對象,實證結果顯示本論文提出的模型所建立的投資組合超越標的指數的績效平均年化報酬率25%。zh_TW
dc.description.abstract (摘要) Setting up an index fund usually uses techniques of index-tracking that choosing few stocks forming a portfolio to obtain the same return rate as the benchmark index. Similarly we can use the same concept to set up a portfolio such that the performance is better than index’s. In this thesis we use index-tracking methods and minimax rule to obtain a portfolio which outperforms the benchmark index. In the proposed mathematical model we will consider the transaction costs, integer trading unit volume, and the total number of assets in the portfolio. Therefore the resulting model is a mixed integer nonlinear programming including integer variables and binary variables. Finally, the empirical study will be performed by using the data from the Taiwan stock market to verify the performance of our model. The empirical study shows that the portfolios created by our models outperform the benchmark index up to 25% in average.en_US
dc.description.abstract (摘要) 摘 要 II
     Abstract III
     目 錄 IV
     圖 目 錄 V
     表 目 錄 VI
     
     第一章 緒論 1
     1.1 前言 1
     1.2 研究目的與架構 4
     
     第二章 文獻回顧 5
     
     第三章 數學模型探討 9
     3.1 Markowitz的模型 9
     3.2 Konno與Yamazaki的模型 10
     3.3 YOUNG的模型 16
     
     第四章 建立與調整投資組合的數學規劃模型 18
     4.1 建立投資組合的數學規劃模型 18
     4.2 調整指數基金的數學規劃模型 22
     
     第五章 實證研究 26
     5.1 檢測模型在不同區段的有效性 26
     5.2 檢測最適的調整週期 30
     5.3 檢測最適的參數 32
     
     第六章 結論與建議 37
     
     參考文獻 39
     
     附錄 附表 41
-
dc.description.tableofcontents 摘 要 II
     Abstract III
     目 錄 IV
     圖 目 錄 V
     表 目 錄 VI
     
     第一章 緒論 1
      1.1 前言 1
      1.2 研究目的與架構 4
     
     第二章 文獻回顧 5
     
     第三章 數學模型探討 9
      3.1 Markowitz的模型 9
      3.2 Konno與Yamazaki的模型 10
      3.3 YOUNG的模型 16
     
     第四章 建立與調整投資組合的數學規劃模型 18
      4.1 建立投資組合的數學規劃模型 18
      4.2 調整指數基金的數學規劃模型 22
     
     第五章 實證研究 26
      5.1 檢測模型在不同區段的有效性 26
      5.2 檢測最適的調整週期 30
      5.3 檢測最適的參數 32
     
     第六章 結論與建議 37
     
     參考文獻 39
     
     附錄 附表 41
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0977510091en_US
dc.subject (關鍵詞) 指數基金zh_TW
dc.subject (關鍵詞) 大中取小法則zh_TW
dc.subject (關鍵詞) 混合整數非線性規劃zh_TW
dc.subject (關鍵詞) index funden_US
dc.subject (關鍵詞) minimax ruleen_US
dc.subject (關鍵詞) mixedinteger nonlinear programen_US
dc.title (題名) 超越指數績效的投資組合最佳化模型zh_TW
dc.title (題名) Portfolio optimization models for enhanced index investmenten_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) J. E. Beasley, N. Meade and T. J. Chang, An evolutionary heuristic for the index trackingzh_TW
dc.relation.reference (參考文獻) problem, European Journal of Operational Research 148, 621-643 (2003).zh_TW
dc.relation.reference (參考文獻) Cai, X., K. L. Teo, X. Yang and X. Y. Zhou, Portfolio optimization under a minimax rule, Management Science 46, 957-972 (2000).zh_TW
dc.relation.reference (參考文獻) Feinstein, C. D. and M. N. Thapa, A reformulation of a mean-absolute deviation portfolio optimization model, Management Science 39, 1552-1553 (1993).zh_TW
dc.relation.reference (參考文獻) Konno, H. and H. Yamazaki, Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock market, Management Science 37, 519-531 (1991).zh_TW
dc.relation.reference (參考文獻) Konno, H., H. Shirakawa, and H. Yamazaki, A mean-absolute deviation-skewness portfolio optimization model, Annals of Operations Research 45, 205-220 (1993).zh_TW
dc.relation.reference (參考文獻) Konno, H. and A. Wijayanayake, Portfolio optimization problem under concave transaction costs and minimal transaction unit constraints, Mathematical Programming Series B 89, 233-250 (2001).zh_TW
dc.relation.reference (參考文獻) Konno, H. and R. Yamamoto, Minimal concave cost rebalance of a portfolio to the efficient frontier, Mathematical Programming Series B 97, 571-585 (2003).zh_TW
dc.relation.reference (參考文獻) Luenberger, D.G., Investment science, Oxford University Press, New York, (1998).zh_TW
dc.relation.reference (參考文獻) Mansini, R. and M. G. Speranza, Heuristic algorithms for the portfolio selection problem with minimum transaction lots, European Journal of Operational Research 114, 219-233 (1999).zh_TW
dc.relation.reference (參考文獻) Markowitz, H., Portfolio selection, Journal of Finance 7, 77-91 (1952).zh_TW
dc.relation.reference (參考文獻) Meade, N. and G. R. Salkin, Index funds-construction and performance measurement, Journal of the Operational Research Society 40, 871-879 (1989).zh_TW
dc.relation.reference (參考文獻) Richard E. Rosenthal, GAMS-A User’s Guide, GAMS Development Corporation, Washington, DC, USA (2008).zh_TW
dc.relation.reference (參考文獻) Sharpe, W. F., A linear programming algorithm for mutual fund portfolio selection, Management Science 13, 499-510 (1967).zh_TW
dc.relation.reference (參考文獻) Sharpe, W. F., A linear programming approximation for the general portfolio analysis problem, Journal of Financial and Quantitative Analysis (December), 1263-1275 (1971).zh_TW
dc.relation.reference (參考文獻) Simaan, Y., Estimation risk in portfolio selection: the mean variance model versus the mean absolute deviation model, Management Science 43 (October), 1437-1446 (1997).zh_TW
dc.relation.reference (參考文獻) Speranza, M. G., Linear programming models for portfolio optimization, Finance 14, 107-123 (1993).zh_TW
dc.relation.reference (參考文獻) Speranza, M. G., A heuristic algorithm for a portfolio optimization model applied to the Milan stock market, Computers & Operations Research 23, 433-441 (1996).zh_TW
dc.relation.reference (參考文獻) Xia, Y., B. Liu, S. Wang and K. K. Lai, A model for portfolio selection with order of expected returns, Computers & Operations Research 27, 409-422 (2000).zh_TW
dc.relation.reference (參考文獻) Young, M. R., A minimax portfolio selection rule with linear programming solution, Management Science 44, 673-683 (1998).zh_TW
dc.relation.reference (參考文獻) 白惠琦,指數基金追蹤模型的最佳化,國立政治大學應用數學系碩士論文 (民國91年)。zh_TW
dc.relation.reference (參考文獻) 呂建鴻,考量下層風險的最佳投資組合,國立政治大學應用數學系碩士論文 (民國91年)。zh_TW
dc.relation.reference (參考文獻) 莊智祥,使用目標規畫建立指數基金,國立政治大學應用數學系碩士論文 (民國87年)。zh_TW
dc.relation.reference (參考文獻) 蘇代利,調整指數基金的最小成本模型,國立政治大學應用數學系碩士論文 (民國93年)。zh_TW